\begin{document}$\alpha = 0.911 \pm 0.005$\end{document} and a local value of \begin{document}${\alpha _{{\rm{loc}}}} = 0.808 \pm 0.003$\end{document}, approximate to those of the materials studied. The global and local roughness and their difference indicate that the fusing process and the fracture profile exhibit significant scale properties and have a strange scale. On the other hand, by analyzing the extreme values of the fused surface with different system sizes, the extreme heights can be collapsed very well, after a lot of trials and analysis, it is found that the extreme statistical distribution of the height of the fused surface can well satisfy the Asym2sig type distribution. The extreme height distributions of fracture surfaces can be fitted by Asym2Sig distribution, rather than the three kinds of usual extreme statistical distributions, i.e. Weibull, Gumbel, and Frechet distributions. The relative maximal and minimum height distribution of the fused surface at the same substrate size have a good symmetry.   In the simulation calculation process of this paper, the coefficient matrix is constructed by using the node analysis method, and the Cholesky decomposition is performed on the coefficient matrix, and then the Sherman-Morrison-Woodbury algorithm is used to quickly invert the coefficient matrix, which greatly optimizes the calculation process and calculation. The efficiency makes the numerical simulation calculation and analysis performed smoothly.  The research in this paper indicates that the random fuse model is a very effective theoretical model in the numerical analysis of the scaling properties of rough fracture surfaces, and it is also applicable to the current fusing process of the inhomogeneous material and the scaling surface analysis of the fusing surface. In this paper, it is found that materials with anisotropic structure can also find their fracture mode by energization, and the properties of fracture surface can provide reference for the study of mechanical properties of honeycomb structural materials. It is a very effective statistical physical model, and this will expand the field of applications of random fuse models."> - 必威体育下载

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    Li Rui-Tao, Tang Gang, Xia Hui, Xun Zhi-Peng, Li Jia-Xiang, Zhu Lei
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    • Abstract views:6414
    • PDF Downloads:36
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    Publishing process
    • Received Date:27 September 2018
    • Accepted Date:24 November 2018
    • Available Online:01 March 2019
    • Published Online:05 March 2019

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